Historically, computational physics was the first application of computers.

Computational physics is also regarded as a branch of computational science.

However, the essence of computational physics is still a subject that studies how to use numerical methods to analyze quantifiable physics problems.

This is the fundamental reason why Professor Friedman praised Chen Zhou for his talent in computing physics.

Computational chemistry is a branch of theoretical chemistry.

Sometimes, the term computational chemistry is also used to represent the interdisciplinary disciplines of computer science and chemistry.

But its essence is the same as computational physics.

The main purpose is to use effective mathematical approximation and computer programs to calculate the total energy, dipole moment, quadrupole moment, reactivity and other properties of molecules.

Computational chemistry is also used to explain some specific chemical problems.

Computational materials science is a rapidly developing emerging discipline, referring to the interdisciplinary discipline of materials science and computer science.

Because computational materials science is a discipline of computer simulation and design about material composition, structure, performance, and service performance, it is also called the "computer experiment" in materials science research.

It is worth mentioning that the disciplines involved in computational materials include materials, physics, computer science, mathematics, chemistry and other disciplines.

But in essence, whether it is computational physics, computational chemistry, or computational materials science.

Their subject essence is inseparable from computing.

And calculation is mathematics.

Computer science can also be summarized into mathematics in a sense.

The result of Chen Zhou’s current breakthrough is to return the essential significance of mathematics to computational physics, computational chemistry and computational materials science.

Chen Zhou started from the research route of material dmd-2 and combined with previous research on material dmd-1 to explore computational materials science, which can play a greater role in this.

Then, we will break out of the research scope of computational materials science, and start to verify the research content of computational physics in the previous physics topic with the research content of computational materials science, and obtain more about this topic

result.

Then, there is computational chemistry.

Although the research on material dmd-2 also falls within the scope of chemistry.

However, it is not pure enough.

Therefore, Chen Zhou improved the substitution of computational chemistry for a considerable period of time.

In addition to the necessary large amount of literature, Chen Zhou even found some for himself, which are very suitable for research topics using computational chemistry methods and carry out practice.

However, the problem Chen Zhou wanted to solve was really too "big".

This "big" does not specifically refer to the difficulty of the topic, or anything else.

The main reason is that Chen Zhou is trying to solve the problem of "unimportant" content that is easily overlooked when finding valuable research content in theoretical research, thus missing valuable research content.

This also causes the factors he needs to consider are too "big".

Although his initial idea was correct, numbers and symbols, or mathematics, were absolutely trustworthy subjects.

However, how to implement this idea into practical research.

Especially with this idea, we connect computational physics, computational chemistry and computational materials science.

It becomes very difficult.

The difficult problem Chen Zhou encountered was that after the research of computational physics, computational materials science and computational chemistry was verified, he could no longer break out of the separate discipline circle and combine them together.

Even though he has reached a certain depth in the research of computational materials, computational physics, and then in the study of computational chemistry.

The results achieved are also amazing.

Even though he has confirmed each other in different computational disciplines, he has achieved good results.

But he was still going further, that is, when he tried to create new research methods, integrate multiple computing disciplines, and solve his ideas.

Encountered this difficult problem.

Although Chen Zhou also tried many ways and combined with the feedback from the wrong questions, he tried to solve this problem.

But he just couldn't grasp the most core solution.

So much so that as time passes, the time points he sets are approaching step by step.

Chen Zhou also became a little irritable.

This is also the reason why Chen Zhou went out for a walk.

An impetuous mentality is no longer suitable for research.

However, what Chen Zhou would never have thought of was.

I don’t know who threw a stone into Wuming Lake and actually woke him up!

It made his thoughts completely open like those ripples.

This is not just a metaphor.

But the solution Chen Zhou wanted was indeed like a circle of ripples.

From surface to point, from outside to inside.

Start with every ripples in computational materials science, and also start with every ripples in computational physics and computational chemistry.

Chen Zhou went to search for the rocks that stirred up ripples, which were their core essential points.

Because their core essence is the same.

That is, mathematics.

However, because of the different research content, starting from the essential point, every ripples in the future have changed.

Now, Chen Zhou is like peeling an onion, stripping away different ripples and finding the onion heart.

In the end, Chen Zhou got the result he wanted!

He successfully combined theoretical research with mathematical methods!

Through accurate quantitative chemistry issues, those "unimportant" contents can not be ignored.

The results of this theoretical research should actually be called a research idea.

It is no exaggeration to say that through this research result, Chen Zhou successfully pushed the research depth of computational disciplines such as computational physics, computational chemistry and computational materials to a new level.

The greatest value of computational disciplines such as computational physics, computational chemistry and computational materials has also been explored.

This theoretical research result is called "quantitative calculation method" by Chen Zhou.

It corresponds to the "distribution deconstruction method" he named before...

On the desk, a stack of draft paper has been sorted out by Chen Zhou.

A smile finally appeared on Chen Zhou's tired face.

After raising his hand and looking at the time, Chen Zhou said with satisfaction: "Yes, it's just on July 8 that I have completed the original research content. It's 4 days faster than the estimated time, it's 4 days, and it's magnificent.

So, it's very nice..."

As for the paper after the research results are released, Chen Zhou is not in a hurry at all.

Even if he works hard, these 4 days will be enough.

What's more, when did his hand speed slower?

Next, all the time by the 25th was almost entirely related to the gauge field theory and the assumption of the existence and mass interval of the Young-Milles gauge field.

Thinking of this, Chen Zhou stretched.

He was indeed very tired after this intense study.

Taking advantage of the gap in solving the problem of quantitative calculation, he had to adjust and take a good rest.

Immediately, Chen Zhou turned off the computer, got up and left the chair.

After washing up, Chen Zhou, who was lying on the bed, fell asleep with a rare slight ease over the past few days.

July 11th, that is, the third day before Chen Zhou completed the quantitative calculation method.

During these three days, Chen Zhou spent 3 hours a day and gave the paper on quantitative calculations.

Chen Zhou didn't want to spend so much time at the beginning.

But when he really started to build the skeleton of the paper, he found that this thing seemed to be the same.

That's big!

The scope of content involves is large enough.

The depth of the content is large enough.

The value of research results is great enough.

The content to be written in the paper is also "big".

There is no way, and accordingly, he must give enough "big" time to complete this paper.
To be continued...